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Netron

Visualizer for neural network, deep learning and machine learning models

Install / Use

/learn @lutzroeder/Netron

README

<div align="center"> <img width="400px" height="100px" src="https://github.com/lutzroeder/netron/raw/main/.github/logo-light.svg#gh-light-mode-only"> <img width="400px" height="100px" src="https://github.com/lutzroeder/netron/raw/main/.github/logo-dark.svg#gh-dark-mode-only"> </div>

Netron is a viewer for neural network, deep learning and machine learning models.

Netron supports ONNX, TensorFlow Lite, PyTorch, torch.export, ExecuTorch, Core ML, Keras, Caffe, Darknet, TensorFlow.js, Safetensors and NumPy.

Netron has experimental support for TorchScript, MLIR, TensorFlow, OpenVINO, RKNN, ncnn, MNN, PaddlePaddle, GGUF and scikit-learn.

<p align='center'><a href='https://www.lutzroeder.com/ai'><img src='.github/screenshot.png' width='800'></a></p>

Install

Browser: Start the browser version.

macOS: Download the .dmg file or run brew install --cask netron.

Linux: Download the .deb or .rpm file.

Windows: Download the .exe installer or run winget install -s winget netron.

Python: pip install netron, then run netron [FILE] or netron.start('[FILE]').

Models

Sample model files to download or open using the browser version:

Related Skills

View on GitHub
GitHub Stars32.6k
CategoryEducation
Updated9m ago
Forks3.1k

Languages

JavaScript

Security Score

100/100

Audited on Mar 23, 2026

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